ACAI Chapter 40: How AI Platforms Should Handle File and Object Storage

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Chapter 40 of the ACAI platform series outlines the architecture for handling file and object storage in an AI system. The design separates binary files — such as images, videos, audio, and documents — from structured metadata, storing the former in object storage and the latter in PostgreSQL. Each file is assigned an internal storage key tied to user and project identifiers, rather than relying on user-provided filenames, to improve security and lifecycle management. A defined status lifecycle — from UPLOADING through PROCESSING to READY or FAILED — allows the system to track file state accurately. The chapter also emphasizes that uploads must be validated on multiple dimensions, including file size, MIME type, and ownership, since client-provided metadata should never be treated as authoritative.

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